Bias in AI
Helen talks about the dangers of assumption and generalization in AI and ML and how diversity is key in avoiding this.
02:17 Before the technology gets well developed, we have the opportunity to avoid assumption and bias.
05:10 AI and ML provide a risk that we’ll create lack of choice for people.
07:12 You cannot generalize about a generation.
09:12 Diversity is key in avoiding bias: have a diverse workforce and have a variety of data sets.
11:10 We need a human QA check in the process, not for technical accuracy, but for societal accuracy.